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View all- Su TXi WXing XWang C(2023)MCRec: Multi-channel Gated Gifts Recommendation2023 IEEE International Conference on Data Mining (ICDM)10.1109/ICDM58522.2023.00064(548-557)Online publication date: 1-Dec-2023
An Interpretable Neural Network Model for Bundle Recommendations: Doctoral Symposium, Extended Abstract
Pages 722 - 723
Abstract
A users’ preference for a bundle – a set of items that can be purchased together – can be expressed by the utility of this bundle to the user. The multi-attribute utility theory motivate us to characterize the utility of a bundle using its attributes to improve the personalized bundle recommendation systems. This extended abstract for the Doctoral Symposium describes my PhD project for studying the utility of a bundle using its attributes. The steps taken and some preliminary results are presented, with an outline of the future plans.
Supplementary Material
a brief presentation in doctoral symposium 2022
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References
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Index Terms
- An Interpretable Neural Network Model for Bundle Recommendations: Doctoral Symposium, Extended Abstract
Recommendations
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Bundle MCR: Towards Conversational Bundle Recommendation
RecSys '22: Proceedings of the 16th ACM Conference on Recommender SystemsBundle recommender systems recommend sets of items (e.g., pants, shirt, and shoes) to users, but they often suffer from two issues: significant interaction sparsity and a large output space. In this work, we extend multi-round conversational ...
A Survey of Researches on Personalized Bundle Recommendation Techniques
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September 2022
743 pages
ISBN:9781450392785
DOI:10.1145/3523227
Copyright © 2022 Owner/Author.
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- SIGCHI: ACM Special Interest Group on Computer-Human Interaction
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New York, NY, United States
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Published: 13 September 2022
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View all- Su TXi WXing XWang C(2023)MCRec: Multi-channel Gated Gifts Recommendation2023 IEEE International Conference on Data Mining (ICDM)10.1109/ICDM58522.2023.00064(548-557)Online publication date: 1-Dec-2023
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